Evidence map›Paper›PMID 33859208›Full record

ArticleScientific reports2021

Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure.

Pankaj Pal, Rashmi Priya Sharma, Sachin Tripathi, Chiranjeev Kumar, Dharavath Ramesh

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pankaj PalIndian Institute of Technology, Indian School of Mines (IIT-ISM), Dhanbad, Jharkhand, 826004, India. palpankaj03@gmail.com.
Rashmi Priya SharmaIndian Institute of Technology, Indian School of Mines (IIT-ISM), Dhanbad, Jharkhand, 826004, India.
Sachin TripathiIndian Institute of Technology, Indian School of Mines (IIT-ISM), Dhanbad, Jharkhand, 826004, India.
Chiranjeev KumarIndian Institute of Technology, Indian School of Mines (IIT-ISM), Dhanbad, Jharkhand, 826004, India.
Dharavath RameshIndian Institute of Technology, Indian School of Mines (IIT-ISM), Dhanbad, Jharkhand, 826004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.

Indexed as

AgricultureAlgorithmsBiosensing TechniquesComputer Communication NetworksCrops, AgriculturalEcological Parameter MonitoringEnvironmentGenetic TestingReproducibility of ResultsSolanum tuberosumTriticumWireless Technology

Identifiers

PMID33859208
PMCPMC8050060

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.